CreaComp Digital Creative Literacy Framework

Competency 5.1

Co-create in a team

Boundary everything that involves others — peers, rights holders, audiences, communities. The economic dimension of partnerships (negotiation, contracts) belongs to the Monetise domain.

Definition

Contributing effectively to collective creative projects, then coordinating them: distribution of roles, a culture of feedback, working rituals, shared documentation. Collective creation obeys learnable rules, which turn a sum of individuals into a common work.

Components

  • Roles and responsibilities: who decides what, who does what, who signs off
  • Feedback: giving useful, precise criticism, receiving it without bristling, sorting the responses
  • Rituals and tools: progress checkpoints, shared spaces, common conventions
  • Versioning and documentation: keeping a record, allowing someone else to take over
  • Coordinating heterogeneous contributors: peers, freelancers, suppliers
  • Handling creative disagreement: deciding without crushing

The four levels

  1. N1 Discovery Lower secondary · complete beginner

    Is able to hold a defined role in a collective project and to give respectful, precise feedback on a peer's work.

    Evidence of assessment

    Contribute identifiably to a group project and produce structured feedback following a simple grid.

  2. N2 Application Upper secondary · advanced beginner

    Is able to integrate contradictory feedback and to move a shared production forward.

    Evidence of assessment

    Deliver a collective production with a log of feedback received, integrated or set aside, with justification.

  3. N3 Adaptation Tertiary · junior professional

    Is able to coordinate a project bringing together several contributors through to delivery.

    Evidence of assessment

    Deliver a creative project involving at least three contributors, with the process documented.

  4. N4 Orchestration Experienced professional

    Is able to direct a complex creative ecosystem — team, suppliers, AI systems — and to develop its members.

    Evidence of assessment

    Direct a complex multi-contributor project, with a documented review of contributions and development actions.